PDF MCP vs Filecoin Onchain Cloud

Choosing between PDF MCP and Filecoin Onchain Cloud? Both are file management MCP servers, but they lean into different workflows. This page focuses on where each one is actually stronger, not just raw counts.

Choose PDF MCP for

Analyzing technical datasheets by extracting diagrams and tables for LLM interpretation.

Choose Filecoin Onchain Cloud for

Archiving large project datasets securely on decentralized storage.

PDF MCP

23by I-CAN-hackstdio

An MCP server for reading, rendering, and searching PDF files.

Best for Analyzing technical datasheets by extracting diagrams and tables for LLM interpretation.

An MCP server for reading, rendering, and searching PDF files. Built with PyMuPDF and PyMuPDF4LLM.

Designed for use with LLMs that need to read datasheets and other PDFs containing diagrams, tables, and technical content.

What it does

  • Extract text in multiple formats including JSON, text, markdown, and HTML
  • Render PDF pages as PNG images with configurable DPI
  • Perform case-insensitive full-text search across PDF documents
  • Retrieve document metadata and table of contents
  • Optionally exclude headers and footers during text extraction

Available tools (5)

get_pdf_infoGet metadata about a PDF (page count, author, title, etc.)
get_table_of_contentsGet the outline/bookmarks with page numbers for each section
get_page_textExtract text from a page range in json, text, markdown, or html format.
get_page_imageRender a single page as a PNG image, returned as base64 or written to a temp file.
search_textCase-insensitive text search across the entire PDF, returning page numbers and surrounding context
View PDF MCP details
vs

Filecoin Onchain Cloud

8by FIL-Buildershttp

Decentralized file storage on Filecoin Onchain Cloud

Best for Archiving large project datasets securely on decentralized storage.

MCP server for decentralized file storage on Filecoin Onchain Cloud.

@fil-b/foc-storage-mcp provides AI agents with seamless access to Filecoin's decentralized storage network through the Model Context Protocol (MCP). Store files persistently with automatic payment handling, CDN support, and comprehensive dataset management.

What it does

  • Persistent file storage on Filecoin decentralized network
  • Automatic payment handling with USDFC and gasless permits
  • Comprehensive dataset management and organization
  • CDN support for fast retrieval of frequently accessed files
  • Built-in cost estimation and pricing explanation tools

Available tools (4)

uploadFileUpload files with auto-payment
getDatasetsList all stored datasets
getDatasetGet dataset details
createDatasetCreate new datasets

Setup requirements

Requires 5 environment variables: PRIVATE_KEY, FILECOIN_NETWORK, TOTAL_STORAGE_NEEDED_GiB, PERSISTENCE_PERIOD_DAYS, RUNOUT_NOTIFICATION_THRESHOLD_DAYS. Available via Claude Desktop and Claude Code.

View Filecoin Onchain Cloud details

Biggest differences

ComparePDF MCPFilecoin Onchain Cloud
Best forAnalyzing technical datasheets by extracting diagrams and tables for LLM interpretation.Archiving large project datasets securely on decentralized storage.
StandoutExtract text in multiple formats including JSON, text, markdown, and HTML.Persistent file storage on Filecoin decentralized network.
Setupuvx or codex, stdio transport.Claude Desktop or Claude Code, needs 5 env vars, http transport.
Transportstdiohttp
Community23 GitHub stars8 GitHub stars

Bottom line

Pick PDF MCP if...

Analyzing technical datasheets by extracting diagrams and tables for LLM interpretation. Extract text in multiple formats including JSON, text, markdown, and HTML. uvx or codex, stdio transport.

Pick Filecoin Onchain Cloud if...

Archiving large project datasets securely on decentralized storage. Persistent file storage on Filecoin decentralized network. Claude Desktop or Claude Code, needs 5 env vars, http transport.

The real split here is workflow fit, not raw counts. PDF MCP: Analyzing technical datasheets by extracting diagrams and tables for LLM interpretation. Filecoin Onchain Cloud: Archiving large project datasets securely on decentralized storage. PDF MCP also has the larger public footprint (23 vs 8 stars).

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